Elementary Statistics Using Excel, 7th edition

  • Mario F. Triola

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Elementary Statistics Using Excel® gives students the foundational skills to apply statistical procedures and interpret data. A wealth of new data sets, exercises, and examples along with the latest content updates support students in their study.

Published by Pearson (July 16th 2021) - Copyright © 2022

ISBN-13: 9780137376940

Subject: Introductory Statistics

Category: Elementary Statistics Using Excel

Table of contents

1. Introduction to Statistics
1.1 Statistical and Critical Thinking
1.2 Types of Data
1.3 Collecting Sample Data
1.4 Ethics in Statistics (download only)

2. Exploring Data with Tables and Graphs
2.1 Frequency Distributions for Organizing and Summarizing Data
2.2 Histograms
2.3 Graphs That Enlighten and Graphs That Deceive
2.4 Scatterplots, Correlation, and Regression

3. Describing, Exploring, and Comparing Data
3.1 Measures of Center
3.2 Measures of Variation
3.3 Measures of Relative Standing and Boxplots

4. Probability
4.1 Basic Concepts of Probability
4.2 Addition Rule and Multiplication Rule
4.3 Complements, Conditional Probability, and Bayes' Theorem
4.4 Counting
4.5 Simulations for Hypothesis Tests

5. Discrete Probability Distributions
5.1 Probability Distributions
5.2 Binomial Probability Distributions
5.3 Poisson Probability Distributions

6. Normal Probability Distributions
6.1 The Standard Normal Distribution
6.2 Real Applications of Normal Distributions
6.3 Sampling Distributions and Estimators
6.4 The Central Limit Theorem
6.5 Assessing Normality
6.6 Normal as Approximation to Binomial (download only)

7. Estimating Parameters and Determining Sample Sizes
7.1 Estimating a Population Proportion
7.2 Estimating a Population Mean
7.3 Estimating a Population Standard Deviation or Variance
7.4 Bootstrapping: Using Technology for Estimates

8. Hypothesis Testing
8.1 Basics of Hypothesis Testing
8.2 Testing a Claim About a Proportion
8.3 Testing a Claim About a Mean
8.4 Testing a Claim About a Standard Deviation or Variance
8.5 Resampling: Using Technology for Hypothesis Testing

9. Inferences from Two Samples
9.1 Two Proportions
9.2 Two Means: Independent Samples
9.3 Matched Pairs
9.4 Two Variances or Standard Deviations
9.5 Resampling: Using Technology for Inferences

10. Correlation and Regression
10.1 Correlation
10.2 Regression
10.3 Prediction Intervals and Variation
10.4 Multiple Regression
10.5 Nonlinear Regression

11. Goodness-of-Fit and Contingency Tables
11.1 Goodness-of-Fit
11.2 Contingency Tables

12. Analysis of Variance
12.1 One-Way ANOVA
12.2 Two-Way ANOVA

13. Nonparametric Tests
13.1 Basics of Nonparametric Tests
13.2 Sign Test
13.3 Wilcoxon Signed-Ranks Test for Matched Pairs
13.4 Wilcoxon Rank-Sum Test for Two Independent Samples
13.5 Kruskal-Wallis Test for Three or More Samples
13.6 Rank Correlation
13.7 Runs Test for Randomness

14. Statistics Process Control
14.1 Control Charts for Variation and Mean
14.2 Control Charts for Attributes

15. Holistic Statistics

APPENDIX D: ANSWERS TO ODD-NUMBERED SECTION EXERCISES (and all Quick Quizzes, all Review Exercises, and all Cumulative Review Exercises)

Index of Applications

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